Music Business Worldwide (MBW)’s Post

I recently read about the incredible AI technology that allows users to sing in 10 languages and 15 Chinese dialects, as highlighted by Music Business Worldwide. Seeing Westlife use this tech to release a song in Mandarin via Tencent Music is truly groundbreaking. This innovation opens up new possibilities for global collaboration and audience engagement. What potential do you see for this technology in enhancing our artists’ global presence? As we explore these advancements, it’s essential to balance technological innovation with artistic integrity. What strategies can we adopt to ensure our artists can utilize these tools without losing their unique voice? How can we support them in creating authentic and culturally resonant music? #MusicIndustry #AITechnology #GlobalMusic #Innovation #CulturalDiversity #ArtistSupport #Leadership #MezzEntertainment

"10 Musical AI Tools That Deserve More Recognition" #AIinMusic 🤝 Follow us on Discord 🔜: https://lnkd.in/gt823Zd3 🤝 Follow us on Whatsapp 🔜 https://wapia.in/wabeta _ ❇️ Summary: In the article "10 Underrated Musical AI Tools" published on Medium in January 2024, the author MON discusses ten lesser-known artificial intelligence tools that can be used for music creation and production. The tools range from AI-powered music composition software to virtual instruments and audio processing tools. The author highlights the unique features and capabilities of each tool, aiming to bring attention to these underrated resources for musicians and producers. Hashtags: #chatGPT 1. #AImusictools 2. #underratedAI音楽

DITTO: Transforming Music Generation with AI #AdobeResearch #advancedtechniques #AI #artificialintelligence #audioquality #Challenges #Complexity #control #DiffusionInferenceTimeTOptimization #diffusionmodels #DITTOframework #Efficiency #Evaluation #initialnoiselatents #llm #machinelearning #Music #musicgeneration #outperformscompetitors #precisecontrol #richdatasets #SanDiego #texttomusicgeneration #UniversityofCalifornia

Vietnam's music industry is a cultural tapestry with a rich array of genres and traditions. But as we venture deeper into the 21st Century, the question arises: How can this burgeoning industry harness modern technology to compete on the global stage? As the CEO of an entertainment company promoting Vietnamese cultural brands, this is something I've thought about for a long time, and I believe the answer lies at the intersection of artificial intelligence (AI) and innovative thinking

AI's impact on music: a transformative revolution in the making #AIinMusic 🤝 Follow us on Discord 🔜: https://lnkd.in/gt823Zd3 🤝 Follow us on Whatsapp 🔜 https://wapia.in/wabeta _ ❇️ Summary: AI technology has advanced to the point where it can replicate the voices of musicians and create music based on prompts. This has led to concerns about the impact on the music industry and the potential replacement of artists. Some musicians are embracing the technology, while others are worried about the implications for creativity and the use of copyrighted material. The debate over the role of AI in music creation is likely to continue, with legal battles and ethical considerations shaping the future of the industry. Hashtags: #chatGPT #AIinMusic #MusicTech

🎵💡 Exploring AI's Role in Overcoming Subjectivity in Music Tagging 💡🎵 Check out this thought-provoking article by Natalie Jacobs, on the challenges of subjective tagging in music tracks. As many in the industry are aware, genres, sub-genres, moods, and lyrical themes often suffer from inconsistencies due to subjective interpretations. Natalie points out: “Many music streaming platforms use algorithms to recommend music based on user preferences and tagging. Subjective tagging practices can introduce biases into these algorithms, potentially limiting the diversity of music recommendations and reinforcing existing music consumption patterns.” She highlights a solution where AI can significantly aid the process: “For subjective tags, not only does it reduce individual interpretation but it also allows tagging at scale.” At Cyanite, we understand the power of AI in revolutionizing music categorization. Our AI-based analysis and recommendation solutions are designed to efficiently tag and search music, ensuring consistency and accuracy. Cyanite's technology is the secret weapon for rights holders, enabling artists to maximize the findability of their music. Join us in transforming music discovery through AI. Let's make every song count! 🔗 https://lnkd.in/e3irTTys #MusicIndustry #AI #MusicTechnology #Cyanite

Power of #ai YouTube Music is passing the mic to AI with a new feature that will allow users to generate music in the style of pop stars like Sia, John Legend, and T-Pain—with the permission of the artists. https://lnkd.in/gQ3i97EM

Google is building tools for AI audio generation and wants permission to use music for training data. Hope this creates another income stream for artists and musicians. #ai #genai #aigeneratedmusic #trainingdata #modeltraining #datasets #generativeai #ml #musicartists #musicians #aiaudio #aimusic

🤔 Have you ever wondered how Spotify is so good at picking your taste in music? It's #AI in your daily life! (I use Apple Music, but Apple have jumped on the algo bandwagon lately too). 🤩 I love thoughtful articles like this, because they remind me that there are big upsides to AI (discovery, recommendation, joy), as well as challenges to think about (getting caught in a musical rut): https://lnkd.in/gCt8esE3 🎓 In the AI fluency sprint, Sandra Peter and Kai Riemer explore the ins and outs of AI: how does it work, what are the challenges, and most importantly - how can your organisation use it strategically to create value? 👩🏽💻 Keen to learn more? Check out the super popular, online, self-paced AI fluency sprint we built in partnership with Deloitte's AI Institute (and I'm HAPPY to answer your questions - just DM me!). Link in comments Kellie Nuttall Erica Dodd Elea Wurth, PhD Jessica Carius

YouTube is developing an AI tool to use famous musicians' voices #AI #AItool #artificialintelligence #betaversion #legalagreements #llm #machinelearning #Music #musiciansvoices #negotiations #recordlabels #YouTube